Conor Lawless
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
- Adipose Tissue and Metabolism
Papers in
-
- Mitochondrial Function and Pathology 12
- Fungal and yeast genetics research 5
- Gene Regulatory Network Analysis 5
- ATP Synthase and ATPases Research 4
-
- Metabolism and Genetic Disorders 8
- Co-authors
- Thomas von Zglinicki (6 shared papers)Diana Jurk (4 shared papers)Glyn Nelson (2 shared papers)Chunfang Wang (2 shared papers)Carmen Martín-Ruiz (1 shared paper)James Wordsworth (1 shared paper)João F. Passos (3 shared papers)Mikhail A. Semenov (3 shared papers)
- Journals
- G3 Genes Genomes Genetics (4 papers)PLoS ONE (3 papers)Nature Communications (2 papers)Open Biology (2 papers)Aging Cell (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Conor Lawless
36 papers receiving 2.3k citations
Conor Lawless's Hit Papers
Peers
Comparison fields: 5 of 146
- Aging 273
- Physiology 927
- Clinical Biochemistry 122
- Geriatrics and Gerontology 57
- Immunology 318
Countries citing papers authored by Conor Lawless
This map shows the geographic impact of Conor Lawless's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Conor Lawless with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor Lawless more than expected).
Fields of papers citing papers by Conor Lawless
This network shows the impact of papers produced by Conor Lawless. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Conor Lawless. The network helps show where Conor Lawless may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor Lawless, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chronic inflammation induces telomere dysfunction and accelerates ageing in mice Hit paper breakdown → | 2014 | 603 |
| 2 | A senescent cell bystander effect: senescence‐induced senescence Hit paper breakdown → | 2012 | 553 |
| 3 | 2010 | 188 | |
| 4 | 2019 | 141 | |
| 5 | 2020 | 97 | |
| 6 | 2008 | 90 | |
| 7 | 2004 | 72 | |
| 8 | 2005 | 62 | |
| 9 | 2011 | 59 | |
| 10 | 2010 | 56 | |
| 11 | 2012 | 53 | |
| 12 | 2009 | 52 | |
| 13 | 2018 | 39 | |
| 14 | 2008 | 32 | |
| 15 | 2011 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2012 | 18 | |
| 19 | 2010 | 17 | |
| 20 | 2018 | 16 |
About Conor Lawless
Conor Lawless is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Aging and Genetics, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), Metabolism and Genetic Disorders (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Telomeres, Telomerase, and Senescence (6 papers), Fungal and yeast genetics research (5 papers), Gene Regulatory Network Analysis (5 papers), Evolution and Genetic Dynamics (4 papers) and ATP Synthase and ATPases Research (4 papers). The work is most often cited by research in Aging (273 citations), Physiology (927 citations), Clinical Biochemistry (122 citations), Geriatrics and Gerontology (57 citations) and Immunology (318 citations). Conor Lawless has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Thomas von Zglinicki, Diana Jurk, Glyn Nelson, Chunfang Wang, Carmen Martín-Ruiz, James Wordsworth, João F. Passos, Mikhail A. Semenov, Laura C. Greaves and Gabriele Saretzki. Their work appears in journals such as G3 Genes Genomes Genetics, PLoS ONE, Nature Communications, Open Biology and Aging Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.